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Top Hybrid Machine Learning Engineer Jobs

Reposted 3 Days AgoSaved
Hybrid
3 Locations
162K-201K Annually
Senior level
162K-201K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
The role involves developing and deploying personalized recommendation engines using advanced ML techniques, while collaborating with cross-functional teams to drive impactful customer experiences.
Top Skills: AWSCondaH2OPythonSpark
Reposted 4 Days AgoSaved
Hybrid
Seattle, WA, USA
247K-309K Annually
Senior level
247K-309K Annually
Senior level
eCommerce • Fintech • Real Estate • Software • PropTech
Lead the architecture and implementation of a scalable AI/ML platform, focusing on data pipelines and integration of ML capabilities in business systems. Mentor and collaborate with cross-functional teams to optimize performance and deliver business value.
Top Skills: AIApi DesignCloud InfrastructureComputer VisionData ProcessingData VersioningMl
Reposted 4 Days AgoSaved
Easy Apply
Remote or Hybrid
2 Locations
Easy Apply
200K-250K Annually
Expert/Leader
200K-250K Annually
Expert/Leader
Artificial Intelligence • Big Data • Computer Vision • Information Technology • Machine Learning • Analytics • Defense
The Staff Machine Learning Engineer will lead the development of AI solutions, ensure project delivery, and manage technical teams while interfacing with customers. Responsibilities include designing data pipelines, overseeing machine learning model development, and facilitating customer engagement.
Top Skills: C++GoJavaKafkaKubernetesPythonPyTorchRabbitMQRustScalaScikit-LearnTensorFlow
Reposted 4 Days AgoSaved
Easy Apply
Hybrid
Cambridge, MA, USA
Easy Apply
90K-210K Annually
Mid level
90K-210K Annually
Mid level
Aerospace • Artificial Intelligence • Computer Vision • Machine Learning • Natural Language Processing • Software • Defense
The Machine Learning Engineer will design, implement, and manage complex ML algorithms, focusing on computer vision and data analysis while collaborating with team members to transition algorithms to production.
Top Skills: AimstackAirflowAWSAzureDockerMlflowPython
Reposted 4 Days AgoSaved
Hybrid
Mountain View, CA, USA
250K-300K Annually
Senior level
250K-300K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The Senior Machine Learning Engineer will develop and enhance Moveworks' NLU and agentic AI capabilities, deliver production-quality code, and solve complex engineering challenges in conversational AI.
Top Skills: GoPython
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Reposted 5 Days AgoSaved
Hybrid
Austin, TX, USA
Expert/Leader
Expert/Leader
Big Data • Real Estate • Software
Lead the development of ML models for search and personalization at Realtor.com, driving innovation and mentoring talent in a collaborative environment.
Top Skills: AWSElasticsearchKubernetesPythonPyTorchSQLTensorFlow
5 Days AgoSaved
Easy Apply
Hybrid
3 Locations
Easy Apply
185K-280K Annually
Mid level
185K-280K Annually
Mid level
Fintech • HR Tech
The Staff Applied AI/ML Engineer will develop, test, and deploy AI/ML models, transition models to production, and collaborate with teams to align solutions with business needs.
Top Skills: AWSAzureC++DockerGCPJavaJavaScriptKubernetesPythonScalaSQL
5 Days AgoSaved
Hybrid
3 Locations
119K-224K Annually
Senior level
119K-224K Annually
Senior level
Fintech • Financial Services
Lead Machine Learning Engineer responsible for designing and maintaining AI platforms, collaborating with teams, and ensuring best practices in AI/ML technologies and cloud infrastructure.
Top Skills: Ai/Ml Frameworks (SparkBashCi/CdDockerGoogle Cloud Platform (Gcp)KubernetesPythonPytorch)Terraform
Reposted 5 Days AgoSaved
Remote or Hybrid
Ohio, USA
88K-150K Annually
Senior level
88K-150K Annually
Senior level
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
As a Machine Learning Subject Matter Expert, analyze ML systems, validate claims, evaluate model performance, and collaborate with teams to report findings.
Top Skills: APIsDockerGitPythonPyTorchScikit-LearnTensorFlow
6 Days AgoSaved
Hybrid
Austin, TX, USA
Mid level
Mid level
Cloud • Information Technology • Security • Software • Cybersecurity
The Machine Learning Engineer will lead the development of a semantic intelligence platform, building knowledge graphs and AI software to enhance data accessibility and business insights.
Top Skills: GoIcebergKubernetesPythonTrinoTypescript
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